readable-spec
Reads web platform specifications via WebFetch — uses the multipage HTML variant for the WHATWG HTML spec, anchor-targeted section reads for W3C TR documents…
Skill by yamadashy
Chalk Labs
Need help deploying readable-spec?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/yamadashy-readable-spec
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: frontend
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/readable-spec
What's inside
- Skill name
readable-spec- Description
- Reads web platform specifications via WebFetch — uses the multipage HTML variant for the WHATWG HTML spec, anchor-targeted section reads for W3C TR documents and TC39 / ECMAScript. Returns the relevant section rather than the whole spec, since these documents are too large for a single fetch. Use when the URL is on *.spec.whatwg.org, w3.org/TR/, or tc39.es.
- License
- MIT
- Instructions
- 47 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Web Spec Reader
Specs are usually large single-page HTML documents. WebFetch them in sections rather than expecting the full body in one response.
## WHATWG (CC BY 4.0)
Examples: `html.spec.whatwg.org`, `url.spec.whatwg.org`, `dom.spec.whatwg.org`.
The HTML spec has a multipage variant that is much friendlier to fetch:
```
https://html.spec.whatwg.org/multipage/{section}.html
```
Use the table of contents at `https://html.spec.whatwg.org/multipage/` to find the right section URL, then WebFetch that page.
## W3C (`w3.org/TR/{shortname}`)
Read with WebFetch, optionally appending an anchor:
```
https://www.w3.org/TR/{shortname}/#{anchor}
```
W3C documents are licensed for reading and reference; do not republish or redistribute large excerpts.
## TC39 / ECMAScript (`tc39.es/ecma262`)
```
https://tc39.es/ecma262/#sec-{section-id}
```
Section IDs are stable; the user often supplies one directly.
## Strategy
1. Identify the spec and target section from the URL.
2. WebFetch with a tight prompt focused on the specific question.
3. If the page is too large to digest, jump to the anchor or table-of-contents subsection.
## Reference
- WHATWG IPR / license: https://whatwg.org/ipr-policy
- W3C document license: https://www.w3.org/copyright/document-license-2023/
- TC39 / ECMAScript: https://tc39.es/ecma262/From yamadashy/agent-readable, MIT.
More from yamadashy/agent-readable
- 0.524score
readable-github
yamadashy
Reads GitHub via the gh CLI — repo metadata / README / file tree, issues with comments and timeline, pull requests (diff, files, inline comments, GraphQL…
SkillCFreshness: C★ 4Claude Code +9 - 0.519score
readable-arxiv
yamadashy
Fetches an arXiv paper — metadata (title, authors, abstract) via WebFetch on the abs page, plus the full PDF via curl on arxiv.org/pdf and structured…
SkillCFreshness: C★ 4Claude Code +9 - 0.519score
readable-mdn
yamadashy
Fetches MDN Web Docs as raw Markdown by mapping the developer.mozilla.org URL to its source file in mdn/content (en-US) or mdn/translated-content (other…
SkillCFreshness: C★ 4Claude Code +9 - 0.519score
readable-pdf
yamadashy
Extracts text (with original line breaks), metadata, per-page character / image density, and optional rendered PNGs from a PDF using pdfvision.
SkillCFreshness: C★ 4Claude Code +9 - 0.519score
readable-speakerdeck
yamadashy
Fetches a SpeakerDeck slide deck by extracting the public PDF URL from the slide page (WebFetch), downloading it via curl, and running pdfvision — typically…
SkillCFreshness: C★ 4Claude Code +9 - 0.519score
readable-stackoverflow
yamadashy
Fetches a Stack Overflow question body and its answers via the Stack Exchange API (api.stackexchange.com/2.3 with the withbody filter, gzip-compressed).
SkillCFreshness: C★ 4Claude Code +9
Signals
- Stars
- 4
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 9, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/yamadashy/agent-readable
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from yamadashy
- 0.858score
Repomix
yamadashy
Pack local or remote codebases into AI-friendly files that LLMs and coding agents can read or search
ConnectorAFreshness: ALocal★ 29KClaude Code +5 - 0.858score
Repomix
yamadashy
Packs a local or remote repository into a single AI-friendly file in XML, Markdown, JSON or plain text.
ArtifactNo sign-up★ 29.1Kdeveloper tools - 0.619score
pr-deps-merge
yamadashy
Safely batch-merge bot dependency-update PRs (Renovate and Dependabot) in the current repo.
SkillAFreshness: A★ 7Claude Code +9 - 0.579score
consult-codex
yamadashy
Consult OpenAI Codex as an advisor via `codex exec` — a cross-model second opinion on a hard design decision, a stuck debugging session, or a close review call.
SkillBFreshness: B★ 7Claude Code +9 - 0.579score
consult-fable
yamadashy
Consult Fable (claude-fable-5, the tier above Opus) as an advisor — a second opinion on a hard design decision, a stuck debugging session, or a close review…
SkillBFreshness: B★ 7Claude Code +9 - 0.534score
readable-message
yamadashy
Reduce reader cognitive load in plain-text messages — Slack, chat DMs, SNS, plain-text email — where no markdown rendering is available.
SkillCFreshness: C★ 7Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get readable-spec running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
readable-spec skill. Agent Mart. https://agentmart.dev/skills/yamadashy-readable-spec (last updated 2026-10-24)